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Machine Learning Engineer, Ads Targeting

San Jose, United States of America💼 Full-time🗓 2026-09-28

Core

Apply machine learning models to scale ad budgets by understanding user interest and intention, building large-scale foundations for data processing and serving for next-generation ad targeting products.

Role type

Senior IC machine learning engineer (ads targeting)

Builds

Scalable platforms and pipelines for ads targeting products (custom audience, interest, behavior, lookalike, auto targeting)

Domain

Online advertising / Machine Learning

Deliverable

production ML models

Required skills

machine learning, deep learning, statistical models, applied mathematical methods, Python, C++, Go, high-load systems, online experimentation, analytics, big data systems (Hadoop, Spark)

Preferred skills

reinforcement learning, transfer learning, counter-factual optimization, user modeling with deep learning, privacy preserving modeling, ads ranking/retrieval/targeting systems, recommender systems

Responsibilities

Develop state-of-the-art applied machine learning projects, own key targeting components or strategies in the ads monetization ecosystem, build scalable platforms and pipelines for ads targeting products, work with product and business teams on product vision

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